Text extraction from images of criteria for determining information on new coronavirus infections in Hyogo Prefecture

Text extraction from the image of the judgment criteria of Information on new coronavirus infection in Hyogo prefecture

If you think that it is a text at "Currently it is a special period of infection spread", it is an image

Scraping

import requests
from bs4 import BeautifulSoup

from urllib.parse import urljoin

url = "https://web.pref.hyogo.lg.jp/index.html"

headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko"
}

r = requests.get(url, headers=headers)
r.raise_for_status()

soup = BeautifulSoup(r.content, "html.parser")

tag = soup.select_one("div#tmp_contents > p > img")

link = urljoin(url, tag.get("src"))

r = requests.get(link, headers=headers)
r.raise_for_status()

with open("alert.png ", mode="wb") as fw:
    fw.write(r.content)

OCR

Install tesseract-ocr

!add-apt-repository ppa:alex-p/tesseract-ocr -y
!apt update
!apt install tesseract-ocr
!apt install libtesseract-dev
!tesseract -v

!apt install tesseract-ocr-jpn  tesseract-ocr-jpn-vert
!apt install tesseract-ocr-script-jpan tesseract-ocr-script-jpan-vert
!tesseract --list-langs
!pip install pytesseract

Extract text from images

import pytesseract

import cv2
import numpy as np

from google.colab.patches import cv2_imshow

#There is a black one left on the edge, so cut it out a little
img_bgr = cv2.imread("alert.png ")[10:-10, 10:-10]

#grayscale
img_gray = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY)

#Color confirmation
img_bgr[10, 10]

#Check the image
cv2_imshow(img_gray)

#Color count
black = np.sum(img_gray < 151)
white = np.sum(img_gray > 150)

#Check which is more white or black, and if there is more black, reverse
if white < black:
    ret, thresh = cv2.threshold(img_gray, 150, 255, cv2.THRESH_BINARY_INV)

else:
    ret, thresh = cv2.threshold(img_gray, 150, 255, cv2.THRESH_BINARY)

#Check the image
cv2_imshow(thresh)

txt = pytesseract.image_to_string(thresh, lang="jpn", config="--psm 6").strip()

txt